Drone-based delivery services have emerged as a promising solution for providing affordable and faster delivery service. In a service-based drone delivery environment, the principles of the service paradigm are used to model both functional and non-functional attributes (Quality of Service) of the delivery services. The objective of each drone-based service is to minimize delivery time and cost. However, when multiple drone-based services operate in shared airspace it may result in conflicts due to their varying QoS and essential functional requirements (confidentiality and priority). For example, a conflict arises when the optimal delivery paths of drone service A and drone service B require access to the same skyway segment at the very same time. Hence, a novel conflict detection and resolution framework will ensure a coordinated operation between drone services in order to enhance the overall Quality of experience (QoE) of a service consumer.
